Dr Taoxin Peng T.Peng@napier.ac.uk
Lecturer
As computing technology advances, computers are being used to orchestrate and advance wide spectrums of commercial and personal life, information visualization becomes even more significant as we immerse ourselves into the era of big data, leading to an economy heavily reliant on data mining and precise, meaningful visualizations. However, accuracy of information visualization techniques is heavily dependent on the knowledge and capabilities of users, leaving novices in many fields at a disadvantage. This is a challenging problem that has been inadequately addressed regardless of the influx in visualization tools. Therefore, this paper proposes a novel approach with a focus on online datasets, allowing users to automatically and accurately visualize datasets. Experiment results show that using a browser extension and specially created HTML tables containing custom attributes - stating the data attribute type - the approach is able to detect and present the most suitable visualizations at the click of a mouse. This proposed approach provides a means for novices to quickly and accurately visualize online datasets.
Peng, T., & Downie, C. (2017). Visualization of Online Datasets. International Journal of Networked and Distributed Computing, 6(1), 11-23. https://doi.org/10.2991/ijndc.2018.6.1.2
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 19, 2017 |
Online Publication Date | Apr 12, 2018 |
Publication Date | Dec 31, 2017 |
Deposit Date | Oct 12, 2017 |
Publicly Available Date | Jul 8, 2019 |
Journal | International Journal of Networked and Distributed Computing |
Print ISSN | 2211-7938 |
Electronic ISSN | 2211-7946 |
Publisher | International Association of Computer and Information Science (ACIS) |
Peer Reviewed | Peer Reviewed |
Volume | 6 |
Issue | 1 |
Pages | 11-23 |
DOI | https://doi.org/10.2991/ijndc.2018.6.1.2 |
Keywords | Online datasets, Visualization, Browser Extensions, Data transformation, HTML |
Public URL | http://researchrepository.napier.ac.uk/Output/990652 |
Publisher URL | http://www.atlantis-press.com/publications/ijndc/index.html |
Contract Date | Oct 13, 2017 |
Visualization of online datasets
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Publisher Licence URL
http://creativecommons.org/licenses/by-nc/4.0/
Copyright Statement
Copyright © 2018, the Authors. Published by Atlantis Press.
This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
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